In our work, we have utilized FSGAN for swapping similar faces FSGAN: https://github.com/YuvalNirkin/fsgan. Face swapping approach preserves the context of the target video by digitally overlay source's face landmarks. Therefore, the target video contains the key biometric characteristics of source subject which can efficiently be used as presentation attack for source's identity. Multiple deepfake datasets in the literature [1]}, [2]}, [3]}, [4]} used a manual selection of faces for swapping. However, in this work, we have employed an automatic way to find a pair of similar faces. We used cosine similarity of ArcFace embeddings to find a similar face for each of the male and female subjects (more on ArcFace in section REF ). We have generated 97 face swapped videos for sentence 6 of bona fide data from session1 data of Samsung S8 device.
